System and method for collision avoidance for vehicle

1. A method for collision avoidance for vehicle, comprising: an avoidance system installed in a first vehicle receiving an abnormal signal from an abnormal vehicle; the avoidance system predicting at least one predicted traveling route for the abnormal vehicle within a period of time according to historical data with respect to the abnormal signal and vehicle information of the abnormal vehicle; the avoidance system providing at least one recommended route for the first vehicle within the period of time based on the at least one predicted traveling route; the avoidance system computing a collision risk value for every recommended route for the first vehicle; and the avoidance system deciding a best recommended route for the first vehicle to avoid the abnormal vehicle according to the collision risk value corresponding to every recommended route.

2. The method as recited in claim 1 , wherein the step of recommending the at least one recommended route for the first vehicle further comprises: the avoidance system acquiring vehicle information of the first vehicle, the vehicle information including at least one of operating statuses of gas pedal, brake, and steering wheel; and the avoidance system deciding the recommended route according to the predicted traveling route for the abnormal vehicle and the vehicle information of the first vehicle.

3. The method as recited in claim 1 , wherein, the avoidance system configures the route with the lowest collision risk value as the best recommended route.

4. The method as recited in claim 1 , wherein the historical data is recorded in a database, the method to establish the database comprises: the avoidance system receiving driving event information corresponding to the abnormal signal generated by the abnormal vehicle when the avoidance system receives the abnormal signal; and the avoidance system categorizing the driving event information based on similarity, wherein the driving event information includes at least one of an abnormal code, a collision, an event time, a vehicle location, a vehicle speed, a vehicle acceleration, a vehicle direction, and climate corresponding to the abnormal signal.

5. The method as recited in claim 4 , wherein the step of computing the collision risk value for every recommended route for the first vehicle is performed based on whether or not the recommended route for the first vehicle enters a route potential pattern of the abnormal vehicle; wherein the method for creating the route potential pattern comprises: the avoidance system drawing the at least one predicted traveling route for the abnormal vehicle on a grid map; and accumulating number of times of the at least one predicted traveling route passing through each grid of the grid map, and the route potential pattern is produced based on a proportion calculation.

6. The method as recited in claim 5 , further comprising: providing the best recommended route for the first vehicle if the avoidance system determines that a distance between the first vehicle and the abnormal vehicle is smaller than a safety distance; and if the avoidance system determines the distance between the first vehicle and the abnormal vehicle is larger than the safety distance, the avoidance system repeatedly computing the collision risk value for one or more recommended routes for the first vehicle in every time interval until the collision risk value is found to be lower than then a risk threshold, and instantly the corresponding route configured to be the best recommended route for the first vehicle.

7. The method as recited in claim 5 , further comprising: providing the best recommended route for the first vehicle if the avoidance system determines that a distance between the first vehicle and the abnormal vehicle is smaller than a safety distance; and if the avoidance system determines the distance between the first vehicle and the abnormal vehicle is larger than the safety distance, the avoidance system repeatedly computing the collision risk value for one or more recommended routes for the first vehicle in every time interval and an instant best recommended route until the abnormal vehicle reaches a great change; the instant best recommended route configured to be the best recommended route for the first vehicle.

8. The method as recited in claim 5 , further comprising: the avoidance system acquiring driving event information for the database based on similarity in response to the abnormal signal generated by the abnormal vehicle, acquiring a great change time from normal to abnormal of the abnormal vehicle, and computing a great change distance from normal to abnormal of the abnormal vehicle according to the great change time; the avoidance system acquiring a traveling route of the first vehicle according to vehicle information of the first vehicle, and computing a potential distance when the first vehicle is estimated to enter the route potential pattern of the abnormal vehicle; the avoidance system comparing the great change distance or the potential distance, whichever is smaller, with a safety distance; the avoidance system providing the best recommended route for the first vehicle if the avoidance system determines the great change distance or the potential distance, whichever is smaller, is smaller than the safety distance; and if the avoidance system determines the great change distance or the potential distance, whichever is smaller, is larger than the safety distance, the avoidance system periodically computing the collision risk value for every recommended route for the first vehicle to avoid the abnormal vehicle in every time interval until the collision risk value is found to be lower than a risk threshold, and the corresponding route with instant lowest collision risk value configured to be the best recommended route.

9. The method as recited in claim 4 , wherein the avoidance system does not record the vehicle information corresponding to the abnormal signal when the avoidance system detects that the abnormal vehicle slows down after receiving the abnormal system generated by the abnormal vehicle.

10. The method as recited in claim 4 , wherein, after receiving the abnormal signal generated by the abnormal vehicle, the avoidance system further receives vehicle information from a second vehicle so as to acquire the second vehicle's traveling route within the period of time; and the avoidance system re-computes the collision risk value according to traveling routes of the first vehicle, the second vehicle and the abnormal vehicle for re-arranging the recommended route to avoid the abnormal vehicle.

11. A system for collision avoidance for vehicle, installed in a nearby vehicle near an abnormal vehicle, comprising: a signal receiving unit, used to receive signals from a nearby vehicle, and signals from the abnormal vehicle; a vehicle information acquiring unit, retrieving vehicle information from the signals obtained from the signal receiving unit; an abnormal signal acquiring unit, retrieving the abnormal signal from every vehicle's vehicle information and obtaining historical data as comparing the abnormal signal with a database, for analyzing a predicted traveling rout of the abnormal vehicle; a potential figure creating unit, forming a route potential pattern having multiple potential routes according to the historical data corresponding to the abnormal vehicle from the abnormal signal acquiring unit; a route risk estimating unit, acquiring one or more recommended routes according to vehicle information of the nearby vehicle, and computing collision risk value for every recommended route; a route determination unit, acquiring distance relationship between the vehicles, and providing the recommended route with the lowest collision risk value based on whether or not a distance between the nearby vehicle and the abnormal vehicle is smaller than a safety distance; and an output unit, used to output the recommended route generated from the route determination unit to the nearby vehicle.

12. The system as recited in claim 11 , wherein the avoidance system is installed in at least one vehicle, and a wireless communication network is provided among the vehicles for transmitting signals.

13. The system as recited in claim 11 , wherein the route determination unit estimates distance relationship between the vehicles according to a time that the abnormal vehicle becomes from normal to abnormal status, a time that the nearby vehicle enters the route potential pattern of the abnormal vehicle, and a safe time between the abnormal vehicle and the nearby vehicle.

14. The system as recited in claim 13 , wherein the route determination unit introduces a risk threshold to determine if the best recommended route with the lower collision risk value is obtained.

15. The system as recited in claim 11 , wherein the information acquired by the vehicle information acquiring unit includes at least one piece of operating data of gas pedal, brake and steering wheel.

16. The system as recited in claim 11 , wherein the abnormal signal acquired by the abnormal signal acquiring unit includes trouble code and its corresponding vehicle information.